Effective predictive maintenance of rotary machinery requires vigilant monitoring of any number of parameters, such as vibration and shock, acoustic emissions, wear debris in oil, etc. Any deterioration of these and other conditions can lead to equipment wear and eventual breakdown if preventive measures are not taken.
Even parts of a machine’s motor that are protected from certain parameters are still susceptible in some regard. For instance, stator windings – stationary windings in an electric motor – are insulated from the motor’s frame, yet the insulation is still affected by all of the stresses present within the motor. Thermal stress is one of the most prominent stresses put on stator winding insulation, as any increases in operating temperature will cause the insulation to age twice as fast.
Aging due to thermal stress breaks down the insulation bonds, creating gas and water due to the thermal agitation of molecules, which can lead to voids in the insulation, reduced adhesion, and eventually, delamination (complete loss of adhesion between insulation layers). Once the insulation is weakened, the mechanical conductor forces can also become an aging factor for the stator winding, exacerbating the insulation’s delamination.
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Replacing an aging stator winding costs significantly less than the lost revenue from downtime experienced after a winding has failed completely. The ability to identify an aging stator winding and replace it before it fails presents a significant value to companies.
One way to monitor temperature in a rotary machine is to measure in-line temperatures at different points throughout the machine using embedded sensors. In the case of the stator winding, sensors need to be placed as close as possible to the hottest part. By tracking and recording temperature trends, plant managers will know when machine parts are running hot enough to cause issues, and will then be able to address those issues before they lead to catastrophic failure.
Advanced condition monitoring solutions allow the sensors to transmit that data to analytic devices by manual or wireless connection. Parker’s latest solution pairs SensoNODE™ Blue sensors with SCOUT™ Mobile technology, which are designed to work seamlessly together to monitor temperatures, as well as humidity and pressure. Employing Bluetooth technology, SensoNODE transmits data to the SCOUT platform, which is installed on a user’s mobile device, allowing for simple, wireless monitoring within range of the sensors.
Contact Parker today to see how its SensoNODE™ Blue sensors and SCOUT™ Mobile software can improve condition monitoring for your predictive maintenance strategy.
Contributed by Dan Davis, product sales manager for SensoNODE Sensors and SCOUT Software, Parker Hannifin.
Addition resources on condition monitoring, predictive maintenance and sensors: